Dissertation & Thesis Support
Chapter-by-chapter guidance across the whole project, from the proposal to the final submitted draft, at whatever stage you are stuck.
Services
87 services across six disciplines. Most projects use more than one of them, which is rather the point of keeping them under one roof.
Structure, method and clarity for serious academic work
Supervision-style guidance across dissertations, theses, proposals, literature reviews, methodology, systematic reviews and viva preparation — with your own thinking kept at the centre.
Most academic projects do not fail on effort. They lose marks on structure, on a methodology that does not match the research question, on a literature review that summarises instead of synthesising, or on a results chapter that reports numbers without interpreting them.
Chapter-by-chapter guidance across the whole project, from the proposal to the final submitted draft, at whatever stage you are stuck.
Turning a broad interest into a defensible, feasible proposal with a question, a gap and a method that actually fit each other.
Moving a review from "author A said this, author B said that" into a synthesised argument that earns its place in the thesis.
Choosing and justifying a design, sampling strategy and analysis plan that your data and your question can actually support.
Instruments built so the data you collect can actually be analysed the way your plan assumes it will be.
Protocol, search strategy, screening, extraction and a PRISMA flow diagram that a reviewer can reproduce.
Effect sizes, pooled models, heterogeneity, subgroup and sensitivity analysis, forest and funnel plots — with the assumptions stated.
An authorised Turnitin similarity check, and — more importantly — help reading the report and fixing what it exposes.
APA 7, Harvard, Vancouver, MLA, Chicago, IEEE, OSCOLA and institution-specific variants, applied consistently throughout.
A mock viva with the questions examiners actually ask about your specific thesis, and practice defending the decisions you made.
Conference talks, upgrade presentations and defence slides that carry an argument instead of reproducing the chapter.
Conference posters that read correctly from two metres away and still reward a close reader.
Term projects, capstones, lab reports, case studies and portfolio work — guided against the actual marking rubric.
The steady stream of weekly submissions — essays, problem sets, discussion posts, short reports — handled so you stop falling a week behind…
Capstones, consulting reports, live-client projects and MBA dissertations — where the marker wants a defensible business recommendation…
Academic and real-world business proposals, plans and feasibility submissions built around numbers that hold up under questioning.
PRINCE2, PMBOK and Agile assignments, full project plans, schedules, risk registers and MS Project or Primavera deliverables.
HR, strategy, operations, organisational behaviour and leadership projects — theory applied to a real organisation rather than described in…
Valuation, financial statement analysis, corporate finance assignments, investment appraisal and accounting coursework with the workings…
Engineering, computing and applied-science assignments: calculations, simulations, design work and technical reports written to the…
Nursing, public-health and allied-health projects: evidence reviews, care-based case studies, audits and reflective practice written to…
Legal research, problem questions, case notes and dissertations with authority handled and cited the way a law school expects.
Harvard-style and discipline-specific case analysis — the diagnosis, the options and the recommendation, in the structure your marker is…
Laboratory and practical reports with the data handled properly: error, uncertainty, figures and discussion in the format your department…
Reflective writing, learning journals, placement portfolios and CPD evidence structured against Gibbs, Kolb, Schön or whichever model your…
Undergraduate capstones and final-year projects — scoping something finishable, then finishing it, across build, study and report.
One-to-one coaching on the skill underneath every assignment: building an argument and putting it in an order a marker can follow.
Analysis you can explain, defend and reproduce
Quantitative and qualitative analysis across SPSS, R, Python, Stata, SmartPLS, AMOS, NVivo and more — delivered with the output interpreted, not just produced.
Producing statistical output is not the hard part. The hard part is choosing a test that matches your design, checking the assumptions honestly, and writing up what the numbers mean in language a reader or an examiner can follow.
Descriptives through to regression, ANOVA, reliability and factor analysis — with assumption checks and APA-formatted output.
Reproducible analysis in R with commented scripts, tidyverse workflows and publication quality ggplot2 output.
pandas, statsmodels, scikit-learn and Jupyter notebooks for analysis that has to scale beyond a spreadsheet.
Panel data, econometrics and survey-weighted analysis in Stata, delivered with do-files.
Linear, logistic, multinomial, ordinal, hierarchical and multilevel models, with diagnostics that are actually run.
t-tests, one-way and factorial ANOVA, ANCOVA, MANOVA, repeated measures and the non-parametric equivalents.
EFA, CFA and full structural models in AMOS, SmartPLS, lavaan or Mplus — with fit indices reported properly.
PROCESS, bootstrapped indirect effects, moderated mediation and clean interaction plots.
Thematic, content, framework and grounded-theory analysis in NVivo, MAXQDA or ATLAS.ti — with an audit trail.
ARIMA, SARIMA, exponential smoothing, VAR and Prophet models, validated on held-out data.
Panel models, instrumental variables, difference-in-differences, GMM and robustness testing.
Classification, regression and clustering with honest validation and interpretable output.
Power BI, Tableau and custom dashboards built around the decisions they are meant to support.
Missing values, outliers, recoding, merging and reshaping — the unglamorous work that decides whether the analysis is trustworthy.
Code that works, and that you can explain
Programming support across Python, R, Java, C/C++, C#, JavaScript, databases, APIs, automation and machine learning — with documentation and a walkthrough included.
Technical projects get stuck in predictable places: an environment that will not install, a bug that only appears with real data, an algorithm that is correct but far too slow, or a codebase inherited from someone who has left.
Scripts, analysis pipelines, scrapers, APIs and automation, written to be read by someone other than the author.
Core Java, JavaFX, Spring Boot and the OOP design that coursework is actually marked on.
Systems programming, data structures, algorithms, .NET applications and the memory bugs that only appear at 3am.
Front-end logic, Node.js services, React and Next.js applications, and migrating JavaScript to TypeScript.
Schema design, normalisation, complex queries, indexing and the query that takes four minutes and should take four milliseconds.
Building REST and GraphQL APIs, and connecting systems that were never designed to talk to each other.
Fixing code that will not run, and reviewing code that runs but should not be trusted.
Model development, fine-tuning, retrieval-augmented generation and getting a model out of the notebook and into use.
Removing the repetitive manual step that someone on your team does every week.
Setting up version control properly, and rescuing repositories that have gone wrong.
Work breakdown structures, critical path, resource levelling and baselines for construction and engineering projects.
READMEs, API references, architecture notes and user guides written for the person who has to use them.
Built to be used, not just launched
Websites, 3D-scroll experiences, mobile apps, SaaS platforms, CRM and dashboards — designed for real devices, real connections and the people who will maintain them.
A great deal of software is delivered and then quietly abandoned, because nobody could update it, it was never tested on a mid-range phone, or it depended on one person who has since moved on.
Business and organisation websites that load quickly, read well on a phone, and can be updated without a developer.
Depth, parallax and scroll-controlled cinematic sequences — used deliberately, and degrading gracefully on slower devices.
Final-year and capstone web projects, built so you can demonstrate and explain every part of them.
Academic and professional profiles with publications, projects and a CV that stays current.
Product catalogues, carts, payments and the operational side that decides whether selling online actually works.
Single-purpose pages built for one conversion, with the tracking in place to tell you whether they work.
Course delivery, enrolment, assessment and progress tracking for tutors, institutes and training teams.
Gated content, subscriptions, multi-vendor listings and the payouts that go with them.
Native and cross-platform apps, built through to store submission.
One codebase for both platforms, with a straight recommendation about which framework suits your project.
Installable, offline-capable web apps — no store review, no download friction.
Multi-tenant platforms, billing, role-based access and the architecture to support them.
Internal systems that match how your business actually works, rather than forcing you into someone else's workflow.
Assistants grounded in your own content, with clear limits on what they will answer.
Live operational dashboards pulling from your own systems, built around decisions rather than available fields.
Work that is understood at a glance
Presentations, posters, infographics, pitch decks, profiles, CVs and data visuals designed so the argument lands before the reader has finished the first slide.
Good work is routinely undersold by the document that carries it. A dense slide, an unreadable chart or a CV that buries the relevant experience costs opportunities that the underlying work deserved.
Defence, upgrade and seminar decks built around one argument and the evidence for it.
Print-ready posters built to your conference specification, legible from across the hall.
Complex information turned into a single readable image, without distorting the data.
Investor and client decks with a narrative that survives being read without you in the room.
Capability documents and brochures that read as credible rather than generic.
Academic CVs and professional résumés that pass automated screening and read well to a human.
Headline, about section, experience and banner written so the right people find and understand you.
Annual reports, technical reports and long documents laid out so they are actually read.
Post and campaign sets sized correctly for each platform, in a consistent visual language.
Charts rebuilt so the finding is visible immediately and the comparison is honest.
Evidence before the decision, not after it
Market and competitor research, surveys, feasibility studies, business reports, financial analysis, dashboards, scheduling and outsourced research capacity.
Business research is commissioned for one of two reasons: to support a decision that has not been made yet, or to justify one that already has. Only the first is worth paying for.
Sizing, segmentation, demand signals and customer evidence — from sources you can cite.
Who you are actually competing with, how they position and price, and where the gap is.
Customer, employee and market surveys designed, fielded and analysed end to end.
Whether this can work — commercially, technically, operationally and legally — before you commit.
Board papers, research reports and reviews structured so a busy reader gets the point immediately.
Ratio analysis, valuation, forecasting and models that are auditable rather than opaque.
Business plans and strategy documents with a route from where you are to where you intend to be.
Realistic schedules with dependencies, critical path and resource loading that holds up.
Extra research and analysis capacity for consultancies, agencies and institutions, under your brand.
Next step
Describe the problem in your own words. Working out which specialism it belongs to is our job, not yours.